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This work presents a whole-year simulation study on nonlinear mixed-integerModel Predictive Control (MPC) for a complex thermal energy supply system whichconsists of a heat pump, stratified water storages, free cooling facilities,and a large underground thermal storage. For solution of the arisingMixed-Integer Non-Linear Programs (MINLPs) we apply an existing general andoptimal-control-suitable decomposition approach. To compensate deviation offorecast inputs from measured disturbances, we introduce a moving horizonestimation step within the MPC strategy. The MPC performance for this study,which consists of more than 50,000 real time suitable MINLP solutions, iscompared to an elaborate conventional control strategy for the system. It isshown that MPC can significantly reduce the yearly energy consumption whileproviding a similar degree of constraint satisfaction, and autonomouslyidentify previously unknown, beneficial operation modes.

A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components